Ismail et al., 2018 - Google Patents
Empirical investigation of multiple query content-based image retrievalIsmail et al., 2018
View PDF- Document ID
- 5707213177749959644
- Author
- Ismail M
- Bchir O
- Publication year
- Publication venue
- International Journal of Applied Pattern Recognition
External Links
Snippet
Multiple query image retrieval system emerged as a promising solution to effectively understand the user interest and communicate it to the system in order to retrieve images relevant to the user query. It consists in providing multiple example images to CBIR system …
- 238000009114 investigational therapy 0 title description 6
Classifications
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- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
- G06F17/30256—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using a combination of image content features
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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